Advancing Airborne Hyperspectral Data Processing and Applications for Sustainable Agriculture Using RTM-Based Machine Learning

Qu Zhou, Sheng Wang, Kaiyu Guan. Advancing Airborne Hyperspectral Data Processing and Applications for Sustainable Agriculture Using RTM-Based Machine Learning. In IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2023, Pasadena, CA, USA, July 16-21, 2023. pages 1269-1272, IEEE, 2023. [doi]

@inproceedings{ZhouWG23,
  title = {Advancing Airborne Hyperspectral Data Processing and Applications for Sustainable Agriculture Using RTM-Based Machine Learning},
  author = {Qu Zhou and Sheng Wang and Kaiyu Guan},
  year = {2023},
  doi = {10.1109/IGARSS52108.2023.10283455},
  url = {https://doi.org/10.1109/IGARSS52108.2023.10283455},
  researchr = {https://researchr.org/publication/ZhouWG23},
  cites = {0},
  citedby = {0},
  pages = {1269-1272},
  booktitle = {IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2023, Pasadena, CA, USA, July 16-21, 2023},
  publisher = {IEEE},
  isbn = {979-8-3503-2010-7},
}